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Senior Real-World Evidence (RWE) Data Scientist - Biostatistics

Senior Real-World Evidence (RWE) Data Scientist - Biostatistics

Links InternationalSingapore, Pedra Branca, Singapore
18 days ago
Job description

Senior Real-World Evidence (RWE) Data Scientist - Biostatistics

Join to apply for the Senior Real-World Evidence (RWE) Data Scientist - Biostatistics role at Links International

Senior Real-World Evidence (RWE) Data Scientist - Biostatistics

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Join to apply for the Senior Real-World Evidence (RWE) Data Scientist - Biostatistics role at Links International

Position Opening : Senior Real-World Evidence (RWE) Data Scientist (Biostatistics)

We are representing our client, a global innovator in oncology and specialty medicine, is seeking a highly skilled Senior Real-World Evidence (RWE) Data Scientist to join its expanding post-approval analytics team. This is a 6-month renewable contract position with the potential to convert to full-time , offering a unique opportunity to contribute to impactful research using real-world healthcare data.

Key Responsibilities

  • Lead the design and execution of RWE studies utilizing diverse data sources, including claims, electronic health records (EHRs), and patient registries.
  • Conduct exploratory data analyses to support feasibility assessments and refine study methodologies.
  • Collaborate in database development to ensure high-quality, analysis-ready data.
  • Independently produce robust analytical outputs using R, SQL, Python, or SAS.
  • Partner with cross-functional teams to enhance data workflows and analytics pipelines.
  • Contribute to the automation and standardization of data processing.
  • Stay current with emerging trends and best practices in RWD analytics and programming.

Qualifications and Experience

  • Bachelor's or Master's degree in Biostatistics , Epidemiology, Data Science, or a related field.
  • Minimum of 3 years of experience working with real-world healthcare data.
  • Proficiency in statistical programming languages (R, SQL, Python, or SAS).
  • Familiarity with healthcare data sources and coding systems (e.g., ICD, CPT, NDC).
  • Experience with cloud-based platforms such as AWS, Redshift, or Databricks is advantageous.
  • Strong communication skills and ability to collaborate effectively in a remote, cross-functional environment.
  • Remote Work : This role is fully remote.
  • Team Environment : The candidate will be part of a collaborative team, working closely with colleagues based in the United States and China.
  • Time Zone Alignment : Candidates should be able to work primarily in Asia time zones , with availability for 1-2 one-hour meetings per week with the U.S.-based team.
  • Travel : Minimal travel is expected at this time.

    • Position Opening : Senior Real-World Evidence (RWE) Data Scientist (Biostatistics)

    Remote

    6-Month Contract (Renewable, Potential for Full-Time)

    We are representing our client, a global innovator in oncology and specialty medicine, is seeking a highly skilled Senior Real-World Evidence (RWE) Data Scientist to join its expanding post-approval analytics team. This is a 6-month renewable contract position with the potential to convert to full-time , offering a unique opportunity to contribute to impactful research using real-world healthcare data.

    Key Responsibilities

  • Lead the design and execution of RWE studies utilizing diverse data sources, including claims, electronic health records (EHRs), and patient registries.
  • Conduct exploratory data analyses to support feasibility assessments and refine study methodologies.
  • Collaborate in database development to ensure high-quality, analysis-ready data.
  • Independently produce robust analytical outputs using R, SQL, Python, or SAS.
  • Partner with cross-functional teams to enhance data workflows and analytics pipelines.
  • Contribute to the automation and standardization of data processing.
  • Stay current with emerging trends and best practices in RWD analytics and programming.

    • Qualifications and Experience

  • Bachelor's or Master's degree in Biostatistics , Epidemiology, Data Science, or a related field.
  • Minimum of 3 years of experience working with real-world healthcare data.
  • Proficiency in statistical programming languages (R, SQL, Python, or SAS).
  • Familiarity with healthcare data sources and coding systems (e.g., ICD, CPT, NDC).
  • Experience with cloud-based platforms such as AWS, Redshift, or Databricks is advantageous.
  • Strong communication skills and ability to collaborate effectively in a remote, cross-functional environment.

    • Work Structure & Collaboration

  • Remote Work : This role is fully remote.
  • Team Environment : The candidate will be part of a collaborative team, working closely with colleagues based in the United States and China.
  • Time Zone Alignment : Candidates should be able to work primarily in Asia time zones , with availability for 1-2 one-hour meetings per week with the U.S.-based team.
  • Travel : Minimal travel is expected at this time.

    • Desired Skills and Experience

    Qualifications and Experience

    Bachelor's or Master's degree in Biostatistics, Epidemiology, Data Science, or a related field.

    Minimum of 3 years of experience working with real-world healthcare data.

    Proficiency in statistical programming languages (R, SQL, Python, or SAS).

    Familiarity with healthcare data sources and coding systems (e.g., ICD, CPT, NDC).

    Experience with cloud-based platforms such as AWS, Redshift, or Databricks is advantageous.

    Strong communication skills and ability to collaborate effectively in a remote, cross-functional environment.

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Industries

    Hospitals and Health Care

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    Senior Data Scientist • Singapore, Pedra Branca, Singapore